A
licenseA
qualityD
maintenanceEnables AI image generation, editing, and upscaling via Google Gemini and Imagen models, supporting dynamic model switching and multiple MCP-compatible clients.
1
2
MIT
mcp-ai-image-generator
by MohamedCHAMI
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TDQS
A3.8/5.0
Scored across 12 tools
Disambiguation4/5
Most tools target a distinct action or provider, but pairs like generate_image/generate_openai_image and edit_image/continue_editing could be confused without reading descriptions closely. The configure_* tools are also similar in name though their purposes differ clearly.
Naming Consistency4/5
The set mostly follows an imperative verb_noun pattern in lowercase snake_case. Minor inconsistencies exist: list_history vs list_video_history is asymmetric, generate_image omits the provider while generate_openai_image includes it, and continue_editing uses a gerund instead of a noun object.
Tool Count5/5
12 tools is a well-scoped count for a media generation server covering Gemini and OpenAI image/video generation, editing, history, configuration, and status. Each tool has a reasonable purpose and the count is not bloated or too thin.
Completeness4/5
Core workflows are covered: image generation/editing, video generation, history listing, configuration, authentication, and status. Minor gaps include no explicit OpenAI image editing, no per-provider model selection beyond the Gemini default, and no retrieval of past media by ID.
Maintenance
ActivityMaintained
ResponsivenessNo issues